SUMMARIZATION

Voice Notes to Per-Project Decision Logs in Notion

Transcribes a backlog of voice memos with ElevenLabs, groups them by the project they mention, and appends a structured decision-log entry (decision, owner, rationale.

CategorySummarization
Enginesim
Difficultyintermediate
Triggerschedule
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerNightly schedule lists new memosDropboxDropbox
  • ActionTranscribe each memo with ElevenLabsElevenLabsElevenLabs
  • ActionDistill into decision schema + extract projectOpenAI
  • LogicMatch project name to Notion page
  • OutputAppend dated decision entry to project pageNotionNotion

What it does

Turns a pile of unstructured voice memos into clean, per-project decision records. Each memo is transcribed, summarized into a fixed schema (decision made, owner, rationale, open follow-ups), routed to the right project, and appended as a dated entry on that project's Notion page.

When to use it

When founders or PMs leave rambling voice notes after meetings and walks but never write them up, so decisions live only in someone's head. Run it nightly to drain the backlog and keep every project's history searchable.

How it works

  1. 1A schedule fires nightly and lists new audio files in a Dropbox folder.
  2. 2ElevenLabs transcribes each memo to text.
  3. 3An LLM step distills the transcript into a structured decision schema and extracts which project it belongs to.
  4. 4A logic step matches the extracted project name to the correct Notion database page.
  5. 5The structured entry is appended to that project's Notion decision log with a date stamp.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect DropboxFiles and folders.
  2. 2
    Connect ElevenLabsText-to-speech, voice cloning.
  3. 3
    Connect OpenAIModels, embeddings, files.
  4. 4
    Connect NotionPages, databases, comments.
  5. 5
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  6. 6
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  7. 7
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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